You should use gpuarray.preallocate=0.7 (choose the % you want) On Monday, March 6, 2017 at 8:31:58 AM UTC+1, Ani wrote: > > Sir I think GPUArray will itself control GPU memory allocation, there is > no need of cnmem now as it is depreciated whic is controlled via CUDA > backend. > > On Mon, Mar 6, 2017 at 12:20 PM, anishi gupta <[email protected] > <javascript:>> wrote: > >> Hello Sir, >> >> When I used command "device=gpuN python file.py" then code is >> successfullt running on gpu.As you said theano FLAGS will override .rc file >> settings so I think there is no need of making .theanorc file. Kindly tell >> me how to make cuda memory faster if I dont use cnmem...I want to gain >> speedup in gpu as compare to cpu.... >> >> >> >> On Fri, Mar 3, 2017 at 7:08 PM, Ramana Subramanyam <[email protected] >> <javascript:>> wrote: >> >>> Hi, >>> You don't set the device parameter. Set your device to gpuN and try >>> running again. cnmem is from the old backend, which will be depreciated >>> soon. You should start using device=cudaN and >>> config.gpuarray.preallocate instead of lib.cnmem. Also, you seem to >>> override the config file with THEANO_FLAGS. Use either of them (remember >>> FLAGS can override .rc file settings). >>> >>> Ramana >>> >>> On Friday, March 3, 2017 at 7:06:24 PM UTC+5:30, Ani wrote: >>>> >>>> No sir I have put >>>> [lib] >>>> cnmem=1 >>>> but it shows error of lib command not found..what to do sir now. >>>> On 3 Mar 2017 5:07 p.m., "Kiuhnm Mnhuik" <[email protected]> wrote: >>>> >>>> You probably forgot [lib]: >>>> >>>> [lib] >>>> cnmem = 1 >>>> >>>> Hello Sir... >>>>> >>>>> I have successfully installed CuDNN and it is also available...but >>>>> problem is with cnmem..When I wrote cnmem=1 in my .theanorc file which is >>>>> at home directory..it gives error on running any code with cpu or >>>>> gpu..please have a look at error(screenshot is attached). >>>>> >>>>> Thanks in advance.... >>>>> Regards >>>>> Anishi Gupta >>>>> >>>>> On Saturday, 28 May 2016 11:05:29 UTC+5:30, Poornachandra Sandur wrote: >>>>>> >>>>>> Hi, >>>>>> CNMem is fast CUDA memory allocator ... if you >>>>>> want to set it you can do it by writing the below lines in your >>>>>> .theanorc >>>>>> file ... >>>>>> >>>>>> [lib] >>>>>> cnmem=1 >>>>>> >>>>>> >>>>>> ------------------------------- >>>>>> >>>>>> For CUDNN you can do it with the following steps : >>>>>> >>>>>> *First download the file : cudnn-7.0-linux-x64-v3.0-prod.tgz* >>>>>> >>>>>> *Extract it to home directory* >>>>>> >>>>>> *and set the LD_LIBRARY_PATH to the above extracted directory* >>>>>> >>>>>> *and then follow the below steps :* >>>>>> >>>>>> >>>>>> >>>>>> *sudo cp /home/poornachandra/cuda/include/cudnn.h >>>>>> /usr/local/cuda-7.5/include/* >>>>>> >>>>>> *sudo cp /home/poornachandra/cuda/lib64/libcudnn* >>>>>> /usr/local/cuda-7.5/lib64/* >>>>>> >>>>>> >>>>>> On Fri, May 27, 2016 at 1:22 PM, Ramana Subramanyam < >>>>>> [email protected]> wrote: >>>>>> >>>>>>> Hello there, >>>>>>> If anyone is running theano on OSX, you need to make a few changes >>>>>>> to Poornachandra's answer. Instead of setting the path of >>>>>>> *LD_LIBRARY_PATH, >>>>>>> *set *DYLD_LIBRARY_PATH *to the extracted directory of CUDNN. I >>>>>>> have extracted them into `/home/packages/` and I am using CUDA 7.5. >>>>>>> Copy >>>>>>> those files to the following destination, >>>>>>> >>>>>>> >>>>>>> 1) sudo cp ~/packages/cuda/lib/libcudnn* /Developer/NVIDIA/CUDA-7.5/ >>>>>>> lib/ >>>>>>> >>>>>>> >>>>>>> >>>>>>> 2) sudo cp ~/packages/cuda/include/cudnn.h /Developer/NVIDIA/CUDA- >>>>>>> 7.5/include/ >>>>>>> >>>>>>> >>>>>>> >>>>>>> Hope this helps! >>>>>>> >>>>>>> On Tuesday, March 15, 2016 at 7:52:50 AM UTC+5:30, Ashutosh Modi >>>>>>> wrote: >>>>>>>> >>>>>>>> Hi, >>>>>>>> >>>>>>>> I am running the latest version of Theano 0.8 on linux server using >>>>>>>> the GPUs. When I run my code I get the following message : >>>>>>>> >>>>>>>> Using gpu device 0: GeForce GTX TITAN X (CNMeM is disabled, CuDNN >>>>>>>> not available) >>>>>>>> >>>>>>>> >>>>>>>> Is it normal or something is lacking or is it some bug? I ran my >>>>>>>> code after clearing the .thano directory. >>>>>>>> >>>>>>>> >>>>>>>> Please help me in resolving this. >>>>>>>> >>>>>>>> >>>>>>>> Thanks, >>>>>>>> >>>>>>>> Ashutosh >>>>>>>> >>>>>>> -- >>>>>>> >>>>>>> --- >>>>>>> You received this message because you are subscribed to the Google >>>>>>> Groups "theano-users" group. >>>>>>> To unsubscribe from this group and stop receiving emails from it, >>>>>>> send an email to [email protected]. >>>>>>> For more options, visit https://groups.google.com/d/optout. >>>>>>> >>>>>> >>>>>> >>>>>> >>>>>> -- >>>>>> warm regards, >>>>>> Poornachandra Sandur, >>>>>> Mob.No.+91-9901913049 >>>>>> >>>>> -- >>>> >>>> --- >>>> You received this message because you are subscribed to a topic in the >>>> Google Groups "theano-users" group. >>>> To unsubscribe from this topic, visit >>>> https://groups.google.com/d/topic/theano-users/4qKbh5C_9e4/unsubscribe. >>>> To unsubscribe from this group and all its topics, send an email to >>>> [email protected]. >>>> For more options, visit https://groups.google.com/d/optout. >>>> >>>> -- >>> >>> --- >>> You received this message because you are subscribed to a topic in the >>> Google Groups "theano-users" group. >>> To unsubscribe from this topic, visit >>> https://groups.google.com/d/topic/theano-users/4qKbh5C_9e4/unsubscribe. >>> To unsubscribe from this group and all its topics, send an email to >>> [email protected] <javascript:>. >>> For more options, visit https://groups.google.com/d/optout. >>> >> >> >> >> -- >> >> With Best Wishes and Regards >> Anishi Gupta >> >> >> > > > -- > > With Best Wishes and Regards > Anishi Gupta > > >
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